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Adaptive Filtering Prediction And Control

Author: Graham C Goodwin
Publisher: Courier Corporation
ISBN: 0486137724
Size: 41.29 MB
Format: PDF
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This unified survey focuses on linear discrete-time systems and explores natural extensions to nonlinear systems. It emphasizes discrete-time systems, summarizing theoretical and practical aspects of a large class of adaptive algorithms. 1984 edition.

Stable Adaptive Systems

Author: Kumpati S. Narendra
Publisher: Courier Corporation
ISBN: 048614142X
Size: 78.18 MB
Format: PDF
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This graduate-level text offers a thorough understanding of the global stability properties essential to designing adaptive systems. Its self-contained, unified presentation includes detailed case studies and numerous problems. 1989 edition.

Optimal Filtering

Author: Brian D. O. Anderson
Publisher: Courier Corporation
ISBN: 0486136892
Size: 57.82 MB
Format: PDF, ePub, Mobi
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Graduate-level text extends studies of signal processing, particularly regarding communication systems and digital filtering theory. Topics include filtering, linear systems, and estimation; discrete-time Kalman filter; time-invariant filters; more. 1979 edition.

Fundamentals Of Adaptive Filtering

Author: Ali H. Sayed
Publisher: John Wiley & Sons
ISBN: 9780471461265
Size: 40.29 MB
Format: PDF, Mobi
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"The author illustrates extensive commonalities that exist among different classes of adaptive algorithms and even among differing filtering theories. He also provides a uniform treatment of the subject matter, addressing some existing limitations, providing additional insights, and detailing extensions of current theory." "Each chapter includes concepts that reinforces the principles covered, bibliographic notes for further study, numerous problems that vary in difficulty and applications, computer projects that illustrate real-life applications, and helpful appendices."--BOOK JACKET.

Introduction To Stochastic Control Theory

Author: Karl J. Åström
Publisher: Courier Corporation
ISBN: 0486138275
Size: 56.62 MB
Format: PDF, Docs
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Exploration of stochastic control theory in terms of analysis, parametric optimization, and optimal stochastic control. Limited to linear systems with quadratic criteria; covers discrete time and continuous time systems. 1970 edition.

Stochastic Processes And Filtering Theory

Author: Andrew H. Jazwinski
Publisher: Courier Corporation
ISBN: 0486318192
Size: 79.97 MB
Format: PDF, ePub, Mobi
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This unified treatment of linear and nonlinear filtering theory presents material previously available only in journals, and in terms accessible to engineering students. Its sole prerequisites are advanced calculus, the theory of ordinary differential equations, and matrix analysis. Although theory is emphasized, the text discusses numerous practical applications as well. Taking the state-space approach to filtering, this text models dynamical systems by finite-dimensional Markov processes, outputs of stochastic difference, and differential equations. Starting with background material on probability theory and stochastic processes, the author introduces and defines the problems of filtering, prediction, and smoothing. He presents the mathematical solutions to nonlinear filtering problems, and he specializes the nonlinear theory to linear problems. The final chapters deal with applications, addressing the development of approximate nonlinear filters, and presenting a critical analysis of their performance.

Applied Digital Control

Author: J. R. Leigh
Publisher: Courier Dover Publications
ISBN: 0486450511
Size: 59.53 MB
Format: PDF, Mobi
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An essential core text, this volume develops theoretical foundations and explains how control systems work in real industrial situations. Several case histories assist students in visualizing applications. 1992 edition.

Model Predictive Control

Author: Eduardo F. Camacho
Publisher: Springer Science & Business Media
ISBN: 0857293982
Size: 80.75 MB
Format: PDF, Docs
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The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. The book demonstrates that a powerful technique does not always require complex control algorithms. Many new exercises and examples have also been added throughout. Solutions available for download from the authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present.

An Introduction To Identification

Author: J. P. Norton
Publisher: Courier Corporation
ISBN: 0486469352
Size: 71.42 MB
Format: PDF, ePub, Mobi
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Suitable for advanced undergraduates and graduate students, this text covers the theoretical basis for mathematical modeling as well as a variety of identification algorithms and their applications. 1986 edition.

Optimal Control Theory

Author: Donald E. Kirk
Publisher: Courier Corporation
ISBN: 0486135071
Size: 13.97 MB
Format: PDF, ePub
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Upper-level undergraduate text introduces aspects of optimal control theory: dynamic programming, Pontryagin's minimum principle, and numerical techniques for trajectory optimization. Numerous figures, tables. Solution guide available upon request. 1970 edition.